Arun Venkatesan
where else to find them
what they talk about
all 6 in the filters
where they keep going back
- Google I/O2 editions2021–2022
all 4 in the filters
on a stage with
- Yu-Cheng Ling2×
- Adam Kochonce
- Artur Tsurkanonce
all 6 in the filters
who talks about the same things
- Christiaan Prins2 talks
- Khanh LeViet5 talks
- Sarah Sirajuddin3 talks
- Sandeep Gupta10 talks
- Kartikey Rawat3 talks
- Paul Ruiz10 talks
| title | conference | date |
|---|---|---|
| Deploy a custom Machine Learning model to mobile | Google I/O 2022 | 2022-05-11 |
Walks from a custom TensorFlow model through conversion, optimization, benchmarking, and mobile deployment using concrete tools: TensorFlow Lite converter… | ||
| Simplified Machine Learning on mobile, browsers, and edge devices with on-device ML | Google's Machine Learning Virtual Community Day 2021 | 2021-11-09 |
Demonstrates true on-device training with a shipped Android demo that collects images and trains a classifier entirely on phone using TensorFlow Lite and… | ||
| On-device machine learning in mobile and web apps | Google I/O 2021 | 2021-05-18 |
TensorFlow Lite launches in 2017 with a converter that turns cloud models into efficient on‑device models and delivers millisecond inference latency for… | ||
| Android Slices best practices | Android Dev Summit 2018 | 2018-11-07 |
Android Slices require Android Pie APIs plus Firebase App Indexing to surface content in Search using content:// Slice URIs mapped from http(s) indexables… | ||
| Firebase analytics for BigQuery | Google Cloud Next '17 | 2017-03-08 |
Firebase Analytics exports raw event batches (events with up to 25 parameters and user properties) to BigQuery in near real time, storing nested JSON-like rows… | ||
| nothing matches | ||